Displaying similar documents to “Linguistic knowledge base simplification regarding accuracy and interpretability.”

How to secure a high quality knowledge base in a rulebased system with uncertainty

Beata Jankowska (2006)

International Journal of Applied Mathematics and Computer Science

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Although the first rule-based systems were created as early as thirty years ago, this methodology of expert systems designing still proves to be useful. It becomes especially important in medical applications, while treating evidence given in an electronic format. Constructing the knowledge base of a rule-based system and, especially, of a system with uncertainty is a difficult task because of the size of this base as well as its heterogeneous character. The base consists of facts, ordinary...

A rough set-based knowledge discovery process

Ning Zhong, Andrzej Skowron (2001)

International Journal of Applied Mathematics and Computer Science

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The knowledge discovery from real-life databases is a multi-phase process consisting of numerous steps, including attribute selection, discretization of real-valued attributes, and rule induction. In the paper, we discuss a rule discovery process that is based on rough set theory. The core of the process is a soft hybrid induction system called the Generalized Distribution Table and Rough Set System (GDT-RS) for discovering classification rules from databases with uncertain and incomplete...

News

(1990)

Kybernetika

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User Profiling for the Web

Miha Grčar, Dunja Mladenič, Marko Grobelnik (2006)

Computer Science and Information Systems

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Engineering intelligent systems on the knowledge formalization continuum

Joachim Baumeister, Jochen Reutelshoefer, Frank Puppe (2011)

International Journal of Applied Mathematics and Computer Science

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In spite of their industrial success, the development of intelligent systems is still a complex and risky task. When building intelligent systems, we see that domain knowledge is often present at different levels of formalization-ranging from text documents to explicit rules. In this paper, we describe the knowledge formalization continuum as a metaphor to help domain specialists during the knowledge acquisition phase. To make use of the knowledge formalization continuum, the agile use...